AI Analyst — анализ исторических данных и трендов

research

archive-analysis is a Claude Code skill that is part of AI Analyst v2 and handles the analysis of archival and historical data within a pipeline of 18 specialized agents. It is one of 39 auto-applied skills that work together to frame business questions, explore data across past periods, identify root causes of trends, and produce a validated slide deck with speaker notes exported to PDF or HTML. Data sources — CSV, DuckDB, Postgres, BigQuery, and Snowflake — are connected via the /connect-data command. The skill is built for analysts who need to work through historical trends, seasonality, and long-term patterns quickly, without spending weeks on manual queries and reporting.